Opening of the Conference

Inspired by colleagues’ work to embed the principles of DORA but frustrated by the snail-like pace at our own institution, we embarked on a plan of small workshops to Do DORAif/where we could. What developed over the next 12 months was in the spirit of our original plan but far beyond what we had envisaged. This breakout will discuss the ways in which circumstance actually embedded, promoted and advocated for DORA with a shoestring budget and time where available. We will discuss practical promotion, guerrilla good-practice, unexpected outcomes and embracing flexible opportunities when it comes to Doing DORA.

Doing DORA: A small-scale project to upscale research culture and research integrity

In this highly interactive, practical session, we’ll introduce the COUNTER Code of Practice for usage for usage reporting and guide you through the ins and outs of obtaining and working with your reports. You’ll come away understanding the value of normalised metrics for comparing across publishers and over time, which metrics to use and when, and of course best practice for harvesting your data using automated tools

COUNTER-intuitive: up close and personal with usage metrics

PGRs are some of the most excited and driven researchers, eager to engage with open access and open research. However, they are also incredibly influenced by the environment in which they find themselves, particularly by their research supervisor’s own behaviours and opinions around open research. Their status as students often limits their access to tools and support available to employed researchers. Equally, their status as researchers can lead to the assumption that they already understand the research and publishing landscape. What can libraries do to support PGRs in becoming ethical and open researchers? Are the one-shot training courses, often voluntary, enough? This talk will discuss barriers and strategies around support for PGRs as they embark on their research careers.

Supporting postgraduate research students in scholarly communications and open research

How do we evidence the impact of inclusive library collections on the university community? How do we convince university leadership that the value-added potential of the library is worth the investment?

Raising the grade and closing the gap? Exploring the link between inclusive library collections and student success

We will talk about the development of the Metadata Team at the University of Leeds. Over the last seven years the team has evolved from a traditional, book-in-hand Cataloguing Team to a forward thinking, dynamic Metadata & Discovery Team. We are now involved in myriad projects ranging from internal Special Collections cataloguing to the development of international linked data and BIBFRAME partnerships. 

We will cover five key areas that have contributed to this development. We will share techniques, approaches and examples from the last few years that illustrate the value and importance of a people-centric approach to metadata and discovery.

From Cataloguing to Discovery: a journey of innovation and resilience

A Fine-grained citation graph for biomedical academic papers: the finding-citation graph

Presidential Address

Pro-Woman, Anti-Man? Identifying Gender Bias in Stance Detection

Test of Time Awards

What Makes Language Models Good-enough?

The presentation titled "CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text" introduces a novel framework designed to enhance the processing and understanding of procedural text. CLMSM stands out by its unique approach of utilizing metadata from procedures, integrating a Contrastive Learning strategy for global context comprehension, and employing Masked Step Modeling to capture local context nuances. This framework addresses the inherent challenge in procedural text processing – the need for a temporal understanding and tracking of entities across steps, a critical aspect that conventional pre-training methods like Masked Language Modeling (MLM) often overlook.

In this presentation, we demonstrate how CLMSM significantly outperforms various baseline models in entity tracking tasks, underscoring the importance of in-domain pre-training for accurately learning temporal and entity-based information in procedures. The results are particularly notable in scenarios requiring the tracking of entities with implicit locations, highlighting CLMSM’s advanced knowledge retention capabilities. Additionally, we present insights into CLMSM's adaptability to out-of-domain tasks, further establishing its versatility. This framework not only sets a new standard in procedural text understanding but also opens avenues for future research, particularly in extending its applicability to other domains with procedural text, potentially unveiling new challenges and opportunities.

Underline digital video library

Opening of the Conference

Doing DORA: A small-scale project to upscale research culture and research integrity

COUNTER-intuitive: up close and personal with usage metrics

Supporting postgraduate research students in scholarly communications and open research

Raising the grade and closing the gap? Exploring the link between inclusive library collections and student success

From Cataloguing to Discovery: a journey of innovation and resilience

A Fine-grained citation graph for biomedical academic papers: the finding-citation graph

Presidential Address

Pro-Woman, Anti-Man? Identifying Gender Bias in Stance Detection

Test of Time Awards

What Makes Language Models Good-enough?

CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text

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